Stock Market Analysis

Overview

An Open source python server application for distributing public financial data and compute results on a local network, minimizing external requests, and conserving external API usage.

Features

• Stock price scraping and storage
• Stock News gathering scraping and API's and storage
• A local server for multi-process communications
• A flask endpoint for easier data sharing and access
• A plug and play design for seamless feature integration
• A functional LSTM price prediction feature using acquired historical prices.

Directory Structure

Data

• database/
• raw data/

Documentation

• Contains team breakdowns, tasks and other relevant stuff.
• Current Project Scope

Src

• notebooks/
• scripts/

Setup

• TBD

• General setup requirement

  • Create and enable a python venv
  • Install requirements from the requirements.txt file

• Getting Data

  • Run the setup.py file from the scripts directory. This will automatically get the required data for price prediction using LSTM.
  • Enter required api keys to automatically store them in related files